code: def cnn(x, n_class):
      c1 = PF.convolution(x, 16, (5, 5), name="conv1")
      c1 = F.relu(F.max_pooling(c1, (2, 2)), inplace=True)
      c2 = PF.convolution(c1, 16, (5, 5), name="conv2")
      c2 = F.relu(F.max_pooling(c2, (2, 2)), inplace=True)
      c3 = F.relu(PF.affine(c2, 50, name="fc3"), inplace=True)
      c4 = PF.affine(c3, n_class, name="fc4")
  
      return c4
  
file_path: nnabla/python/test/utils/test_profiler.py
imports: import sys
  import nnabla
  import nnabla.functions
  import nnabla.parametric_functions
  import nnabla.solver
  import numpy
  from nnabla.ext_utils import get_extension_context
  from nnabla.utils.profiler import GraphProfiler, GraphProfilerCsvWriter
label_desc: Use image node_id 1 for calling a global function with example usage: cnn(x, n_class) and returns: c4